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Data Optimizer Jobs in California (NOW HIRING)

Federato Technologies

Data Scientist

San Francisco, CA · On-site +1

$160K - $200K/yr

... data scientist. Federato is a venture backed company funded by some of the most prominent VC's in ... We build software to help large insurance carriers improve their portfolio optimization. Our goal ...

Federato Technologies

Data Scientist

San Francisco, CA · Remote

$160K - $200K/yr

... data scientist. Federato is a venture backed company funded by some of the most prominent VC's in ... We build software to help large insurance carriers improve their portfolio optimization. Our goal ...

K2 Space

Senior Application Data Engineer

Los Angeles, CA

$160K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Lead data architecture designs, drive data optimization, ensure data integrity and accuracy. * Evaluate and make decisions regarding competing data design tradeoffs. * Advocate, defend and convert ...

Medinext Global LLC

Data Engineer

California City, CA · On-site

$140K - $168K/yr

Snowflake (Hands-on Implementation & Optimization) * Advanced SQL * Complex SQL Queries * SQL Query Optimization * Performance Tuning * Python * Data Engineering * Automation Scripting * Data ...

Eli Lilly and Company

Data Architect, Data Foundry

San Francisco, CA · On-site

$75 - $96.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities-serving both human scientists and autonomous AI agents.

Mindlance

Data Scientist

San Francisco, CA · On-site

Required : • Gurobi Optimization • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques ...

Mindlance

Data Scientist

San Francisco, CA · On-site

Required : • Gurobi Optimization • Developing predictive models in the area of marketing • Understanding business problems and translating it into data mining problems • Applying techniques ...

Databricks

Systems PhD - Software Engineer

Mountain View, CA · On-site

$205K - $244K/yr

Responsibilities : • Query compilation & optimization • Distributed query execution and scheduling • Vectorized engine execution • Data security • Resource Management • Transaction ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization. You'll make an impact by: • Process complicated and large-scale datasets using ...

Voxelcloud

Data Engineer Intern

Los Angeles, CA

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

Voxelcloud

Data Engineer Intern

Los Angeles, CA · On-site

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.

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Data Optimizer information

What is a data optimizer?

Data Optimizers are professionals who analyze, refine, and improve how data is collected, stored, processed, and utilized within an organization. They work to enhance data quality, streamline workflows, and ensure that businesses can make the most effective use of their data assets. By implementing best practices and leveraging technology, Data Optimizers help organizations gain actionable insights, reduce inefficiencies, and support better decision-making. Their role often involves working closely with data engineers, analysts, and business stakeholders to optimize data systems and processes.

How does a data optimizer typically collaborate with data engineers and analysts within a project team?

A Data Optimizer works closely with data engineers to ensure data pipelines are efficient, scalable, and aligned with organizational goals. They often review current data structures, identify inefficiencies, and propose enhancements that streamline data flow and improve performance. Collaboration with analysts is also key, as Data Optimizers help ensure data quality and availability for analytical tasks, often translating business needs into technical improvements. This role requires strong communication skills and the ability to bridge the gap between technical teams and business stakeholders.

What are the key skills and qualifications needed to thrive as a data optimizer, and why are they important?

To thrive as a Data Optimizer, you need strong analytical skills, a solid understanding of data management principles, and experience with data cleaning and transformation, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools like SQL, Python, data visualization software, and data warehousing systems is common, and certifications in data analytics or database management can be advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure data integrity, facilitate informed decision-making, and drive organizational efficiency through optimized data processes.

What is the difference between Data Optimizer vs Data Analyst?

AspectData OptimizerData Analyst
CredentialsTypically requires certifications in data management, SQL, or data analysis toolsOften holds degrees in statistics, mathematics, or related fields
Work EnvironmentFocuses on data quality, efficiency, and process improvement within data systemsAnalyzes data sets to identify trends and generate reports for decision-making
Employer & Industry UsageUsed in industries emphasizing data infrastructure and optimizationCommon across various industries for business insights and reporting

While both roles work with data, Data Optimizers focus on enhancing data quality and system efficiency, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps organizations assign the right skills to each role.

What cities in California are hiring for Data Optimizer jobs?

Cities in California with the most Data Optimizer job openings:

Data Optimizer jobs near you
Infographic showing various Data Optimizer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.